Data Engineer / Data Scientist

* Key developer on various projects that helped grow the company from 5 to 30 employees
* Design and implementation of real-time machine learning framework for steel manufacturing processes that
lead to considerable reduction of energy consumption. Rollout to multiple steel plants. (Python,
SQL, PostgreSQL, Scikit-learn, Docker, Microservices)
* Development of ETL pipeline for proprietary "iba" time series files to Clickhouse (Golang, Python, Pandas)
* Data analysis and automated report generation from data warehouse (Python, SQL, Docker)
* Development of real-time data replication pipelines using CDC from Oracle and SQL Server to PostgreSQL
and Clickhouse (Python, Kafka, Debezium, Docker)
* Responsible for the full software development life-cycle: design, implementation, testing, deployment,
maintenance and monitoring
* Support of DevOps department: establishment of site-to-site VPNs, setup of servers and VMs,
management of load balancers, web servers and databases (CentOS, Ubuntu, Ansible, PostgreSQL,
Clickhouse)
* Management of CI/CD automation (GitLab)
* Mentoring and training of junior developers

* Development of data science platform for steel manufacturing processes (Python, Pandas, Scikit-learn, SQL, PostgreSQL, Flask, REST, AWS)
* Training of machine learning models for optimizing raw material selection in the steel industry (Python,
Pandas, Scikit-learn)

* Improvement of test equipment throughput by more than 30%
* Data analysis and root cause investigation for failure analysis task force